This collection of datasets comprise the 'Tectonic map of Te Riu-a-Māui / Zealandia' 1:8 500 000 data compilation. It contains the geospatial layers showing the main tectonic features and bathymetric environment of the region surrounding Te Riu-a-Māui / Zealandia.

We have developed a 2-D/3-D arbitrary lagrangian-eulerian (ALE) finite-element code, SULEC, based on known techniques from literature. SULEC is successful in tackling many of the problems faced by numerical models of lithosphere and mantle processes, such as the combination of viscous, elastic, and plastic rheologies, the presence of a free surface, the contrast in viscosity between lithosphere and the underlying asthenosphere, and the occurrence of large deformations including viscous flow and offset on shear zones. The aim of our presentation is (1) to describe SULEC, and (2) to present a set of analytical and numerical benchmarks that we use to continuously test our code. SULEC solves the incompressible momentum equation coupled with the energy equation. It uses a structured mesh that is built of quadrilateral or brick elements that can vary in size in all dimensions, allowing to achieve high resolutions where required. The elements are either linear in velocity with constant pressure, or quadratic in velocity with linear pressure. An accurate pressure field is obtained through an iterative penalty (Uzawa) formulation. Material properties are carried on tracer particles that are advected through the Eulerian mesh. Shear elasticity is implemented following the approach of Moresi et al. [J. Comp. Phys. 184, 2003], brittle materials deform following a Drucker-Prager criterion, and viscous flow is by temperature- and pressure-dependent power-law creep. DOI: https://doi.org/10.21420/8Z3S-ZZ03 Cite model as: GNS Science. (2012). SULEC geodynamic finite-element code. GNS Science. https://doi.org/10.21420/8Z3S-ZZ03

This dataset represents the labels associated with the bathymetry layer and comprises annotation which stores depth to the sea bed, in metres.

This dataset spatially represents selected isobaths of water depth interpreted from various data for the offshore area encompassed by this map. This data layer spatially represents selected contours defining the interpreted depth to the sea bed, in metres.

This dataset represents the labels associated with the geochronology sample points and comprises annotation which stores the age of the sample.

This layer shows the observed and calculated velocities of active plate motions at selected surface locations in and around Te Riu-a-Māui / Zealandia. Velocities are shown relative to a fixed Australian Plate using the Global Strain Rate Model version 2.1. The layer was newly-compiled for, and is part of, the 'Tectonic map of Te Riu-a-Māui / Zealandia' 1:8 500 000 dataset.

This dataset represents the labels associated with the textural zone isotects and comprises annotation which stores the textural zones designation on either side of the isotect.

This data layer spatially represents faults located at the surface or in Cretaceous-Cenozoic sedimentary rocks interpreted from seismic data. The dataset comprises arcs with each arc having attributes describing the type of fault, its name, age and activity, and the sense of movement and cumulative slip. The data structure complies with the GeoSciML 4.1 standard for ShearDisplacementStructureView and uses the relevant CGI Controlled Vocabularies.

This data layer spatially represents depositional unconformities within the geological materials, divided by age, present at the surface interpreted from seismic data. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the relevant CGI Controlled Vocabularies.

This data layer spatially represents folds located at the surface or in Cretaceous-Cenozoic sedimentary rocks interpreted from seismic data The dataset comprises arcs with each arc having attributes describing the fold type, its name and age, and activity. The data structure complies with the GeoSciML 4.1 standard where relevant and uses the relevant CGI Controlled Vocabularies.